Querying Data with Transact-SQL 20761; 3 Days; Instructor-led

Transcription

1 Querying Data with Transact-SQL 20761; 3 Days; Instructor-led Course Description The main purpose of this 3-day instructor led course is to give students a good understanding of the Transact-SQL language which is used by all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence. As such, the primary target audience for this course is: Database Administrators, Database Developers and BI professionals. The course will very likely be well attended by SQL power users who aren t necessarily databasefocused; namely, report writers, business analysts and client application developers. Course Objectives After completing this course, students will be able to: Describe the basic architecture and concepts of Microsoft SQL Server Understand the similarities and differences between Transact-SQL and other computer languages. Write SELECT queries Query multiple tables Sort and filter data Describe the use of data types in SQL Server Modify data using Transact-SQL Use built-in functions Group and aggregate data Use subqueries Use table expressions Use set operators Use window ranking, offset and aggregate functions Implement pivoting and grouping sets Execute stored procedures Program with T-SQL Implement error handling Implement transactions Audience This course is intended for Database Administrators, Database Developers, and Business Intelligence professionals. The course will very likely be well attended by SQL power users who aren t necessarily database-focused; namely, report writers, business analysts and client application developers. Prerequisites

2 Working knowledge of relational databases. Basic knowledge of the Microsoft Windows operating system and its core functionality. Course Outline Module 1: Introduction to Microsoft SQL Server 2016 This module introduces SQL Server, the versions of SQL Server, including cloud versions, and how to connect to SQL Server using SQL Server Management Studio. The Basic Architecture of SQL Server SQL Server Editions and Versions Getting Started with SQL Server Management Studio Lab: Working with SQL Server 2016 Tools Describe the architecture and editions of SQL Server Work with SQL Server Management Studio. Module 2: Introduction to T-SQL Querying This module introduces the elements of T-SQL and their role in writing queries, describes the use of sets in SQL Server, describes the use of predicate logic in SQL Server, and describes the logical order of operations in SELECT statements. Introducing T-SQL Understanding Sets Understanding Predicate Logic Understanding the Logical Order of Operations in SELECT statements Lab: Introduction to Transact-SQL Querying Describe the elements of T-SQL and their role in writing queries Describe the use of sets in SQL Server Describe the use of predicate logic in SQL Server Describe the logical order of operations in SELECT statements Module 3: Writing SELECT Queries This module introduces the fundamentals of the SELECT statement, focusing on queries against a single table. Writing Simple SELECT Statements Eliminating Duplicates with DISTINCT Using Column and Table Aliases Writing Simple CASE Expressions Lab: Writing Basic SELECT Statements

3 Write simple SELECT statements. Eliminate duplicates using the DISTINCT clause. Use column and table aliases. Write simple CASE expressions. Module 4: Querying Multiple Tables This module explains how to write queries which combine data from multiple sources in SQL Server. The module introduces the use of JOINs in T-SQL queries as a mechanism for retrieving data from multiple tables. Understanding Joins Querying with Inner Joins Querying with Outer Joins Querying with Cross Joins and Self Joins Lab: Querying Multiple Tables Describe how multiple tables may be queried in a SELECT statement using joins. Write queries that use inner joins. Write queries that use outer joins. Write queries that use self-joins and cross joins. Module 5: Sorting and Filtering Data This module explains how to enhance queries to limit the rows they return, and to control the order in which the rows are displayed. The module also discusses how to resolve missing and unknown results. Sorting Data Filtering Data with Predicates Filtering with the TOP and OFFSET-FETCH Options Working with Unknown Values Lab: Sorting and Filtering Data Filter data with predicates in the WHERE clause. Sort data using ORDER BY. Filter data in the SELECT clause with TOP. Filter data with OFFSET and FETCH. Module 6: Working with SQL Server 2016 Data Types This module explains the data types SQL Server uses to store data. It introduces the many types of numeric and special-use data types. It also explains conversions between data types, and the importance of type precedence. Introducing SQL Server 2016 Data Types Working with Character Data Working with Date and Time Data

4 Lab: Working with SQL Server 2016 Data Types Describe numeric data types, type precedence and type conversions. Write queries using character data types. Write queries using date and time data types. Module 7: Using DML to Modify Data This module describes the use of Transact-SQL Data Manipulation Language to perform inserts, updates, and deletes to your data. Inserting Data Modifying and Deleting Data Lab: Using DML to Modify Data Insert new data into your tables. Update and delete existing records in your tables. Module 8: Using Built-In Functions This module introduces the use of functions that are built in to SQL Server Denali, and will discuss some common usages including data type conversion, testing for logical results and null ability. Writing Queries with Built-In Functions Using Conversion Functions Using Logical Functions Using Functions to Work with NULL Lab: Using Built-In Functions Write queries with built-in scalar functions. Use conversion functions. Use logical functions. Use functions that work with NULL. Module 9: Grouping and Aggregating Data This module introduces methods for grouping data within a query, aggregating the grouped data and filtering groups with HAVING. The module is designed to help the student grasp why a SELECT clause has restrictions placed upon column naming in the GROUP BY clause as well as which columns may be listed in the SELECT clause. Using Aggregate Functions Using the GROUP BY Clause Filtering Groups with HAVING Lab: Grouping and Aggregating Data

5 Write queries which summarize data using built-in aggregate functions. Use the GROUP BY clause to arrange rows into groups. Use the HAVING clause to filter out groups based on a search condition. Module 10: Using Subqueries This module will introduce the use of subqueries in various parts of a SELECT statement. It will include the use of scalar and multi-result subqueries, and the use of the IN and EXISTS operators. Writing Self-Contained Subqueries Writing Correlated Subqueries Using the EXISTS Predicate with Subqueries Lab: Using Subqueries Describe the uses of queries which are nested within other queries. Write self-contained subqueries which return scalar or multi-valued results. Write correlated subqueries which return scalar or multi-valued results. Use the EXISTS predicate to efficiently check for the existence of rows in a subquery. Module 11: Using Set Operators This module introduces the set operators UNION, INTERSECT, and EXCEPT to compare rows between two input sets. Writing Queries with the UNION Operator Using EXCEPT and INTERSECT Using APPLY Lab: Using SET Operators Write queries using UNION, EXCEPT, and INTERSECT operators. Use the APPLY operator.